WO2018174581A1

WO2018174581A1 - Method and device for controlling white balance function of electronic device

Info

Publication number: WO2018174581A1
Application number: PCT/KR2018/003333
Authority: WO
Inventors: 석진근
Original assignee: 삼성전자주식회사
Priority date: 2017-03-24
Filing date: 2018-03-22
Publication date: 2018-09-27
Also published as: KR102359276B1; US20200053332A1; US11025876B2; KR20180108201A

Abstract

Disclosed in various embodiments of the present invention are a method and a device for correcting white balance during image capturing in an electronic device. According to the various embodiments of the present invention, a display and a processor functionally connected with the display are comprised, wherein the processor can be configured so as to: acquire an image including one or more objects; determine a first area corresponding to a face among the one or more objects in the image; determine a second area corresponding to the background among the one or more objects; confirm the ratio between color information of the first area and color information of the second area; correct, on the basis of a first level, white balance corresponding to the first area if the ratio satisfies a set first condition; correct, on the basis of a second level, the white balance corresponding to the first area if the ratio satisfies a set second condition; and display, through the display, an image of which the white balance corresponding to the first area has been corrected on the basis of one corresponding level between the first level and the second level. Various embodiments are possible.

Description

Method and device for controlling the white balance function of an electronic device

Various embodiments of the present disclosure disclose a method and an apparatus for correcting a white balance during image capturing in an electronic device.

With the recent development of digital technology, mobile communication terminals, smart phones, tablet PCs, notebooks, personal digital assistants, wearable devices, and digital cameras Various types of electronic devices such as digital cameras or personal computers are widely used.

Recently, the electronic device provides not only a call function and a multimedia play function (for example, music play and video play) but also an image capture function. When the electronic device provides an image capturing function, the electronic device performs various image signal processing (for example, color correction processing) to evolve to acquire a desired image. For example, the electronic device is able to express the most appropriate color under an arbitrary light source through an auto white balance (AWB) function. According to one embodiment, the light entering the camera sensor (eg image sensor) of the electronic device depends on the spectrum of the light source and the reflection spectrum of the object, and the white or gray object is a low color temperature light source or high When exposed to a color temperature light source, it can be rendered red at a low color temperature light source and blue at a high color temperature light source. In the electronic device, an automatic white balance function is provided to correct this (for example, to display white as white).

However, the existing automatic white balance function applies white balance to the entire image regardless of the presence or absence of a face in the image. Thus, in an image with a face, for example, if the face is under a high color temperature light source and the background is under a lower color temperature light source, the white balance is adjusted to match the background, so that the face color is different from the actual color (e.g., Can be expressed in blue). In addition, the existing automatic white balance function applies white balance equally to images including people of different skin colors such as black, white, yellow, etc. When the white balance is applied, the skin color of the black may be expressed yellowish in contrast to the actual color, and the skin color of the white or yellow man may be expressed in bluish contrast with the actual color.

In various embodiments of the present disclosure, a method and apparatus for improving a white balance function of an image photographed by an electronic device are disclosed.

In various embodiments, a method and apparatus for detecting an attribute of a facial region (eg, a human race) in an image and controlling a white balance based on the detected attribute are disclosed.

According to various embodiments of the present disclosure, an electronic device may include a display and a processor operatively connected to the display, wherein the processor acquires an image including one or more objects, and among the one or more objects in the image. Determine a first area corresponding to a face, determine a second area corresponding to a background among the one or more objects, identify a ratio between color information of the first area and color information of the second area, and If the ratio satisfies the set first condition, the white balance corresponding to the first area is corrected at the first level, and if the ratio satisfies the set second condition, the second level corresponds to the first area. Correcting the white balance, and a white balance corresponding to the first area at a corresponding one of the first level and the second level. May be configured to display the corrected image on the display.

An electronic device according to various embodiments of the present disclosure may include a camera module, a display, and a processor operatively connected to the camera module and the display, wherein the processor acquires an image including a face object, Distinguish a background region from a face region, determine attributes for the face region, calculate weights for correcting white balance based on attributes of the face region, correct the white balance based on the weights, The image may be configured to be displayed on the display based on the corrected white balance.

An operation method of an electronic device according to various embodiments of the present disclosure may include obtaining an image including one or more objects, determining a first area corresponding to a face among the one or more objects in the image, and performing the operation. Determining a second area corresponding to a background among the above objects, checking a ratio between color information of the first area and color information of the second area, and when the ratio satisfies a set first condition, Correcting the white balance corresponding to the first area at a first level, correcting the white balance corresponding to the first area at a second level when the ratio satisfies a set second condition, and Display the image on which a white balance corresponding to the first area is corrected on a display at a corresponding one of a first level and a second level on a display It may include the operation.

In order to solve the above problems, various embodiments of the present disclosure may include a computer-readable recording medium having recorded thereon a program for executing the method in a processor.

According to various embodiments of the present disclosure, an electronic device and an operation method thereof may detect a face region in an image and distinguish attributes (eg, races) corresponding to an object of the face region. According to various embodiments of the present disclosure, the white balance may be differentially provided based on an attribute corresponding to the object in the face region in the image. Accordingly, in various embodiments, the white balance performance of the image photographed by the electronic device may be improved. According to various embodiments of the present disclosure, as the white balance is corrected through racial division in the image in which the face exists, the skin color according to the race may be expressed closer to the primary color. The electronic device according to various embodiments of the present disclosure may contribute to improving usability, convenience, or usability of the electronic device.

1 is a diagram illustrating a network environment including an electronic device according to various embodiments of the present disclosure.

2 is a block diagram of an electronic device according to various embodiments of the present disclosure.

3 is a block diagram of a program module according to various embodiments of the present disclosure.

4 is a diagram illustrating an example of a white balance correction module in an electronic device according to various embodiments of the present disclosure.

5 and 6 are diagrams illustrating color differences between attributes of an object in an electronic device according to various embodiments of the present disclosure.

7 is a flowchart illustrating a method of operating an electronic device according to various embodiments of the present disclosure.

FIG. 8 is a diagram illustrating an example of classifying attributes of a face area in various embodiments of the present disclosure.

9 and 10 are diagrams for explaining an example of setting a reference value for attribute classification in consideration of backlight in various embodiments of the present disclosure.

11 is a flowchart illustrating a method of operating an electronic device according to various embodiments of the present disclosure.

12 is a flowchart illustrating a method of operating an electronic device according to various embodiments of the present disclosure.

13 is a flowchart illustrating a method of operating an electronic device according to various embodiments of the present disclosure.

14 is a flowchart illustrating a method of operating an electronic device according to various embodiments of the present disclosure.

15 is a diagram illustrating an example of a white balance correction result in an electronic device according to various embodiments of the present disclosure.

Hereinafter, various embodiments of the present disclosure will be described with reference to the accompanying drawings. The examples and terms used therein are not intended to limit the techniques described in this document to specific embodiments, but should be understood to include various modifications, equivalents, and / or alternatives to the examples. In connection with the description of the drawings, similar reference numerals may be used for similar components.

Singular expressions may include plural expressions unless the context clearly indicates otherwise. In this document, expressions such as "A or B" or "at least one of A and / or B" may include all possible combinations of items listed together. Expressions such as "first", "second", "first", or "second" may modify the components in any order or importance, and may be used to distinguish one component from another. It does not limit the components. When any (eg first) component is said to be "connected" or "connected" to another (eg second) component, the other component is said other The component may be directly connected or connected through another component (eg, a third component).

In this document, "configured to" means having the ability to "fit to", "hard," depending on the circumstances, for example, hardware or software. It can be used interchangeably with "," modified to "," made to "," doable ", or" designed to ". In some situations, the expression “device configured to” may mean that the device “can” together with other devices or components. For example, the phrase “processor configured (or configured to) perform A, B, and C” may be implemented by executing a dedicated processor (eg, an embedded processor) to perform its operation, or one or more software programs stored in a memory device. It may mean a general-purpose processor (eg, a central processing unit (CPU) or an application processor (AP)) capable of performing corresponding operations.

An electronic device according to various embodiments of the present disclosure may be, for example, a smartphone, a tablet PC, a mobile phone, a video phone, an e-book reader, a desktop PC, a laptop PC. , Netbook computer, workstation, server, personal digital assistant (PDA), portable multimedia player (PMP), MPEG-1 Audio Layer-3 (MP3) player, medical device, camera, or It may include at least one of a wearable device. Wearable devices may be accessory (e.g. watches, rings, bracelets, anklets, necklaces, eyeglasses, contact lenses, or head-mounted-devices, fabrics or clothing (e.g. electronic garments), body It may include at least one of an attachable type (eg, a skin pad or a tattoo) or an implantable circuit.

In some embodiments, the electronic device is, for example, a television, a digital video disk (DVD) player, audio, refrigerator, air conditioner, cleaner, oven, microwave oven, washing machine, air purifier, set top box, home automation control panel, security Include at least one of a control panel, media box (e.g. Samsung HomeSync ^TM , Apple TV ^TM , or Google TV ^TM ), game console (e.g. Xbox ^TM , PlayStation ^TM ), electronic dictionary, electronic key, camcorder, or electronic frame can do.

In another embodiment, the electronic device may include various medical devices (eg, various portable medical measuring devices (eg, blood glucose meters, heart rate monitors, blood pressure meters, or body temperature meters), magnetic resonance angiography (MRA), and magnetic resonance imaging). ), Computed tomography (CT), cameras, or ultrasounds), navigation devices, global navigation satellite systems (GNSS), event data recorders (EDR), flight data recorders (FDR), automotive infotainment devices (in- vehicle infotainment device, automotive infotainment device, marine electronic equipment (e.g. marine navigation devices, gyro compasses, etc.), avionics, security equipment, vehicle head units, industrial or domestic robots, drones ), Automated teller machines (ATMs) in financial institutions, point of sales (POS) in stores, or Internet of things (IoT) devices (e.g. light bulbs, sensors, sprinkler devices, fire alarms, temperature control) , Street lights, toaster, exercise equipment, hot water tank, a heater, boiler, etc.) may include at least one of.

According to some embodiments, an electronic device may be a part of a furniture, building / structure, or automobile, an electronic board, an electronic signature receiving device, a projector, or various measuring devices (eg, Water, electricity, gas, or radio wave measuring instrument). In various embodiments, the electronic device may be flexible or a combination of two or more of the aforementioned various devices. An electronic device according to an embodiment of the present disclosure is not limited to the above-described devices. In this document, the term user may refer to a person who uses an electronic device or a device (eg, an artificial intelligence electronic device) that uses an electronic device.

Referring to FIG. 1, in various embodiments, an electronic device 101 in a network environment 100 is described. The electronic device 101 may include a bus 110, a processor 120 (eg, a processor including processing circuitry), a memory 130, an input / output interface 150, a display 160, and It may include a communication interface 170. According to an embodiment of the present disclosure, the electronic device 101 may omit at least one of the components or additionally include other components.

The bus 110 may include circuitry that connects the components 110-170 to each other and transfers communication (eg, control messages or data) between the components.

The processor 120 may include one or more of a central processing unit (CPU), an application processor (AP), or a communication processor (CP). The processor 120 may execute, for example, an operation or data processing related to control and / or communication of at least one other component of the electronic device 101. Processing (or control) operations of the processor 120 according to various embodiments of the present disclosure will be described in detail with reference to the accompanying drawings.

The memory 130 may include volatile memory and / or non-volatile memory. The memory 130 may store, for example, commands or data related to at least one other element of the electronic device 101. According to an embodiment of the present disclosure, the memory 130 may store software and / or a program 140. The program 140 may include, for example, a kernel 141, middleware 143, an application programming interface (API) 145, and / or an application program ( Or "application") 147 or the like. At least a portion of kernel 141, middleware 143, or API 145 may be referred to as an operating system (OS).

The memory 130 may store one or more programs executed by the processor 120, and may perform a function for temporarily storing input / output data. The input / output data may include, for example, data such as a video, an image (eg, a photo), function (or application) performance related information, or audio. According to various embodiments of the present disclosure, the memory 130 is responsible for storing the obtained data, and the obtained data in real time may be stored in a temporary storage device (eg, a buffer), and the data determined to be stored. Can be stored in a storage device that can be stored long. The memory 130 may include a computer-readable recording medium that records a program for executing the method in the processor 120 according to various embodiments.

The kernel 141 may be a system resource (eg, used to execute an action or function implemented in, for example, other programs (eg, middleware 143, API 145, or application program 147). The bus 110, the processor 120, or the memory 130 may be controlled or managed. In addition, the kernel 141 may provide an interface for controlling or managing system resources by accessing individual components of the electronic device 101 from the middleware 143, the API 145, or the application program 147. Can be.

The middleware 143 may serve as an intermediary for allowing the API 145 or the application program 147 to communicate with the kernel 141 to exchange data. In addition, the middleware 143 may process one or more work requests received from the application program 147 according to priority. For example, the middleware 143 may use system resources (eg, the bus 110, the processor 120, or the memory 130, etc.) of the electronic device 101 for at least one of the application programs 147. Prioritize and process one or more work requests.

The API 145 is an interface for the application 147 to control functions provided by the kernel 141 or the middleware 143. For example, file control, window control, and image are provided. It may include at least one interface or function (eg, a command) for processing or character control.

The input / output interface 150 may transfer, for example, a command or data input from a user or an external device to other component (s) of the electronic device 101, or the other component (s) of the electronic device 101. The command or data received from the user can be output to the user or an external device. For example, wired / wireless headphone port, external charger port, wired / wireless data port, memory card port, audio input / output port, video input / output port, earphone port Etc. may be included in the input / output interface 150.

The display 160 may be, for example, a liquid crystal display (LCD), a light emitting diode (LED) display, an organic light emitting diode (OLED) display, an active OLED (AMOLED). ), Micro-electromechanical systems (MEMS) displays, or electronic paper displays. The display 160 may display, for example, various contents (eg, text, images, videos, icons, and / or symbols, etc.) to the user. The display 160 may include a touchscreen, for example, a touch, a gesture, proximity, or hovering using an electronic pen or a part of a user's body. ) Can receive input.

Display 160 may, for example, show a visual output to a user. The visual output may appear in the form of text, graphics, video, and combinations thereof. The display 160 may display (output) various types of information processed by the electronic device 101. For example, the display 160 may display a user interface (UI) or a graphical user interface (GUI) related to the use of the electronic device 101. According to various embodiments of the present disclosure, the display 160 may display various user interfaces (eg, a UI or a GUI) related to an operation performed by the electronic device 101 (eg, a content display operation, a status information display operation, and the like). have.

In various embodiments, the display 160 may include a curved display (or a bent display) that can bend, bend, or roll without damage through a thin, flexible substrate, such as a flat panel display or paper. . The curved display may be fastened to the housing (or bezel) to maintain the curved shape. According to various embodiments of the present disclosure, the electronic device 101 may be implemented as a display device that can be bent and detached like a flexible display, as well as in a form such as a curved display.

In various embodiments, the display 160 may be folded and unfolded by replacing the glass substrate surrounding the liquid crystal with a plastic film in a liquid crystal display (LCD), a light emitting diode (LED), an organic light emitting diode (OLED), or an active OLED (AMOLED). It can give flexibility. In various embodiments, the display 160 extends to at least one side (eg, at least one of a left side, a right side, an upper side, and a bottom side) of the electronic device 101 such that a curved display can be operated. (radius of curvature) (eg radius of curvature 5cm, 1cm, 7.5mm, 5mm, 4mm, etc.) can be folded and fastened to the side of the housing. The display 160 according to various embodiments of the present disclosure may be embodied in a right angle shape without a radius of curvature.

The communication interface 170 may establish communication between the electronic device 101 and an external device (eg, the first external electronic device 102, the second external electronic device 104, or the server 106). Can be. For example, the communication interface 170 may be connected to the network 162 through wireless or wired communication to communicate with an external device.

Wireless communication includes, for example, long term evolution (LTE), LTE Advance (LTE-A), code division multiple access (CDMA), wideband CDMA (WCDMA), universal mobile telecommunications system (UMTS), and wireless broadband (WiBro). Or cellular communication using at least one of a global system for mobile communications (GSM) and the like.

According to one embodiment, the wireless communication is, for example, as illustrated by element 164 of FIG. 1, wireless fidelity (WiFi), light fidelity (LiFi), wireless gigabit alliance (WiGig), and Bluetooth (Bluetooth). ), Bluetooth low energy (BLE), Zigbee, near field communication (NFC), magnetic secure transmission, radio frequency (RF), or body area network (BAN, body) and at least one of an area network.

According to an embodiment of the present disclosure, the wireless communication may include a GNSS. The GNSS may be, for example, a global positioning system (GPS), a global navigation satellite system (Glonass), a Beidou Navigation Satellite System (hereinafter referred to as "Beidou"), or a Galileo, the European global satellite-based navigation system. Hereinafter, in this document, "GPS" may be used interchangeably with "GNSS".

Wired communication may include, for example, universal serial bus (USB), high definition multimedia interface (HDMI), updated standard 232 (RS-232), power line communication, or plain old telephone service (POTS). It may include at least one.

The network 162 may comprise at least one of a telecommunications network, for example, a computer network (eg, a local area network (LAN) or a wide area network (WAN)), the Internet, or a telephone network. It may include.

Each of the first external electronic device 102 and the second external electronic device 104 may be the same or different type of device as the electronic device 101. According to various embodiments of the present disclosure, all or part of operations executed in the electronic device 101 may be executed in one or a plurality of external devices (for example, the

electronic devices

102 and 104 or the server 106).

According to an embodiment of the present disclosure, when the electronic device 101 needs to perform a function or service automatically or by request, the electronic device 101 may instead or additionally execute the function or service by itself. The associated at least some functions may be requested to other electronic devices (eg, the

electronic devices

102 and 104 or the server 106). The other electronic device (for example, the

electronic devices

102 and 104 or the server 106) may execute the requested function or the additional function and transmit the result to the electronic device 101. The electronic device 101 may process the received result as it is or additionally to provide the requested function or service. To this end, for example, cloud computing, distributed computing, or client-server computing technology may be used.

The server 106 may be, for example, an integration server, a provider server (or a carrier server), a content server, an internet server, a cloud server. ), A web server, a secure server, a certification server, or the like.

The electronic device 201 may include, for example, all or part of the electronic device 101 illustrated in FIG. 1. The electronic device 201 may include one or more processors 210 (eg, an AP), a communication module 220, a subscriber identification module 224, a memory 230, a sensor module 240, an input device 250, and a display ( 260, interface 270, audio module 280, camera module 291, power management module 295, battery 296, indicator 297, motor 298 (eg, vibration motor), and the like. It may include.

According to various embodiments of the present disclosure, the electronic device 201 may not be essential to those illustrated in FIG. 2, and thus may be implemented to have more or fewer configurations than those illustrated in FIG. 2. For example, the electronic device 201, according to various embodiments, may not include any components. According to various embodiments of the present disclosure, the above-described components of the electronic device 201 may be seated on or outside the housing (or bezel, main body) of the electronic device 201.

The processor 210 may control, for example, a plurality of hardware or software components connected to the processor 210 by driving an operating system or an application program, and may perform various data processing and operations. The processor 210 may be implemented with, for example, a system on chip (SoC). According to an embodiment of the present disclosure, the processor 210 may further include a graphic processing unit (GPU) and / or an image signal processor (ISP).

The processor 210 may include at least some of the components illustrated in FIG. 2 (eg, the cellular module 221). The processor 210 may load and process instructions or data received from at least one of other components (eg, nonvolatile memory) into the volatile memory, and store the result data in the nonvolatile memory.

In various embodiments, the processor 210 may include one or more processors. For example, the processor 210 may include a communication processor (CP), an application processor (AP), an interface (eg, GPIO, general purpose input / output), internal memory, or the like as separate components, or one or more components. It can be integrated in an integrated circuit. According to an embodiment of the present disclosure, the application processor may execute various software programs to perform various functions for the electronic device 201, and the communication processor may perform processing and control for voice communication and data communication. Can be done. The processor 210 may execute a specific software module (for example, an instruction set) stored in the memory 230 to perform various specific functions corresponding to the module.

In various embodiments, the processor 210 may control the overall operation of the electronic device 201. In various embodiments, the processor 210 may include an audio module 280, an interface 270, a display 260, a camera module 291, a communication module 220, a power management module 295, and a sensor module 240. Or control the operation of a hardware module such as a motor 298. According to various embodiments of the present disclosure, the processor 210 may be electrically connected to the display 260, the memory 230, the communication module 220, the interface 270, and / or the camera module 291 of the electronic device 201. Can be.

According to various embodiments of the present disclosure, the processor 210 may process an operation related to detecting a face region in an image, distinguishing an attribute (eg, race information) of the face region, and performing white balance correction based on the attribute. have. According to various embodiments of the present disclosure, the processor 210 acquires an image including one or more objects, determines a first area corresponding to a face among one or more objects in the image, and determines one or more objects. An operation related to determining the second area corresponding to the background may be processed. According to various embodiments of the present disclosure, the processor 210 checks a ratio (or difference value) between the color information of the first region and the color information of the second region, and sets the first level to the first level when the ratio satisfies the set first condition. The operation of correcting the white balance corresponding to the first region and correcting the white balance corresponding to the first region at the second level may be processed when the ratio satisfies the second condition. According to various embodiments of the present disclosure, the processor 210 may perform an operation related to displaying, on the display 260, an image whose white balance is corrected corresponding to the first area at a corresponding one of a first level and a second level. Can be processed.

Processing (or control) operations of the processor 210 according to various embodiments of the present disclosure will be described in detail with reference to the accompanying drawings.

The communication module 220 may have a configuration that is the same as or similar to that of the communication interface 170 illustrated in FIG. 1, for example. The communication module 220 may include, for example, a cellular module 221, a WiFi module 223, a Bluetooth module 225, a GNSS module 227, an NFC module 228, and an RF module 229. have. Although not shown, the communication module 220 may further include, for example, a WiGig module (not shown). According to an embodiment of the present disclosure, the WiFi module 223 and the WiGig module (not shown) may be integrated into one chip.

The cellular module 221 may, for example, provide a voice call, a video call, a text service, an internet service, or the like through a communication network. According to an embodiment of the present disclosure, the cellular module 221 may perform identification and authentication of the electronic device 201 in a communication network using a subscriber identification module (eg, a subscriber identification module (SIM) card) 224. . According to an embodiment of the present disclosure, the cellular module 221 may perform at least some of the functions that the processor 210 may provide. According to an embodiment of the present disclosure, the cellular module 221 may include a communication processor (CP). According to some embodiments, at least some (eg, two or more) of the cellular module 221, the WiFi module 223, the Bluetooth module 225, the GNSS module 227, or the NFC module 228 may include one IC ( integrated chip) or IC package.

The RF module 229 may transmit / receive a communication signal (for example, an RF signal), for example. The RF module 229 may include, for example, a transceiver, a power amplifier module (PAM), a frequency filter, a low noise amplifier (LNA), an antenna, or the like. According to another embodiment, at least one of the cellular module 221, the WiFi module 223, the Bluetooth module 225, the GNSS module 227, or the NFC module 228 may transmit and receive an RF signal through a separate RF module. Can be.

The WiFi module 223 may, for example, connect a wireless local area network (WLAN) link with a wireless Internet connection and an external device (e.g., another electronic device 102 or server 106, etc.). It may represent a module for forming. The WiFi module 223 may be embedded or external to the electronic device 201. Wireless Internet technologies may include WiFi, WiGig, Wibro, world interoperability for microwave access (WiMax), high speed downlink packet access (HSDPA), or millimeter wave (mmWave). The WiFi module 223 may be directly connected to the electronic device 201, or may be connected to an external device (eg, another electronic device (eg, a wireless Internet network) (eg, the network 162)). 104, etc.), various data of the electronic device 201 may be transmitted to the outside or received from the outside. The WiFi module 223 may be constantly turned on or may be turned on / off according to a setting of the electronic device or a user input.

The Bluetooth module 225 and the NFC module 228 may represent, for example, a short range communication module for performing short range communication. Bluetooth, low power Bluetooth (BLE), radio frequency identification (RFID), infrared communication (IrDA), ultra wideband (UWB), Zigbee, or NFC may be used as a short range communication technology. The short range communication module interlocks with the external device (for example, other electronic device 102, etc.) connected to the electronic device 201 through a network (for example, a short distance communication network) to externally store various data of the electronic device 201. Can be sent or received by the device. The short range communication module (for example, the Bluetooth module 225 and the NFC module 228) may be always on, or may be turned on / off according to a setting of the electronic device 201 or a user input.

Subscriber identification module 224 may include, for example, a card or embedded SIM that includes a subscriber identification module, and may include unique identification information (eg, integrated circuit card identifier (ICCID)) or subscriber information (eg, IMSI). (international mobile subscriber identity)).

The memory 230 (eg, the memory 130) may include, for example, an internal memory 232 or an external memory 234. The internal memory 232 may be, for example, volatile memory (for example, dynamic access memory (DRAM), synchronous RAM (SRAM), or synchronous dynamic RAM, etc.), nonvolatile memory (for example, OTPROM). (one time programmable read only memory), programmable ROM (PROM), erasable and programmable ROM (EPROM), electrically EPROM (EEPROM), mask ROM, flash ROM, flash memory, hard drive, or solid state drive (SSD) and a solid state drive). The external memory 234 may be a flash drive, for example, a compact flash (CF), a secure digital (SD), a micro-SD, a mini-SD, an extreme digital (XD), or a multi-media card (MMC). Or a memory stick. The external memory 234 may be functionally or physically connected to the electronic device 201 through various interfaces.

The memory 230 may, in various embodiments, cause the processor 210 to detect a face region in an image, distinguish attributes of a facial region (eg, race information), and perform white balance correction based on the attributes. One or more related programs, data, or instructions may be stored. According to various embodiments of the present disclosure, the memory 230 may include various setting information (eg, color information, reference value, correction value, white balance offset, backlight) for white balance correction according to an attribute (eg race) of an object of a face area. Ratios, etc.) can be stored. According to various embodiments of the present disclosure, the memory 230 may look-up a variety of state-specific setting information related to the processor 210 controlling white balance correction according to an attribute (eg, race) of an object of a face area. It can be stored in the form of an up table (or a mapping table).

The memory 230 may include expansion memory (eg, external memory 234) or internal memory (eg, internal memory 232). The electronic device 201 may operate in association with a web storage that performs a storage function of the memory 230 on the Internet.

The memory 230 may store one or more software (or software modules). For example, the software component may be an operating system software module, a communication software module, a graphics software module, a user interface software module, a moving picture experts group (MPEG) module, a camera software module, or one or more application software modules. It may include. In addition, a module, which is a software component, may be expressed as a set of instructions, so that a module may be referred to as an instruction set. Modules are also represented programmatically. In various embodiments of the present disclosure, the memory 230 may include additional modules (instructions) in addition to the above-described module. Or, if necessary, some modules (instructions) may not be used.

Operating system software modules may include various software components that control general system operations. Controlling such general system operation may mean, for example, memory management and control, storage hardware (device) control and management, or power control and management. The operating system software module may also perform functions that facilitate communication between various hardware (devices) and software components (modules).

The communication software module may enable communication with other electronic devices such as a wearable device, a smartphone, a computer, a server, or a portable terminal through the communication module 220 or the interface 270. In addition, the communication software module may be configured with a protocol structure corresponding to the communication method.

The graphics software module may include various software components for presenting and displaying graphics on the display 260. In various embodiments, the term graphics may be used to mean text, web pages, icons, digital images, video, animations, and the like. have.

The user interface software module may include various software components related to the user interface (UI). For example, it may include how the state of the user interface changes or under what conditions the state of the user interface state changes.

The MPEG module may include software components that enable processes and functions (eg, creation, playback, distribution and transmission, etc.) of digital content (eg, video, audio, etc.).

The camera software module may include camera related software components that enable camera related processes and functions.

Application modules include web browsers, including a rendering engine, email, instant messages, word processing, keyboard emulation, address book ), Touch list, widget, digital right management (DRM), iris scan, context recognition, voice recognition, location determination ( position determining function), location based service, and the like.

According to various embodiments of the present disclosure, the application module may include a health care (eg, measuring exercise amount or blood sugar) or an application for providing environmental information (eg, barometric pressure, humidity, or temperature information). Can be. According to various embodiments of the present disclosure, the application module may include one or more applications that detect a face region in an image, distinguish an attribute (eg, race information) of the face region, and perform white balance correction based on the attribute. Can be.

The sensor module 240 may measure, for example, a physical quantity or detect an operation state of the electronic device 201 and convert the measured or detected information into an electrical signal. The sensor module 240 is, for example, a gesture sensor 240A, a gyro sensor 240B, a barometer sensor 240C, a magnetic sensor 240D. , Acceleration sensor (240E), grip sensor (240F), proximity sensor (240G), color sensor (240H) (e.g. RGB (red, green, blue) Sensor), a biometric sensor 240I, a temperature / humidity sensor 240J, an illuminance sensor 240K, or an ultraviolet violet sensor 240M. It may include one.

Additionally or alternatively, sensor module 240 may include, for example, an e-nose sensor, an electromyography sensor, and an electroencephalogram sensor. And an electrocardiogram (ECG) sensor, an infrared (IR) sensor, an iris scan sensor, and / or a fingerprint scan sensor. The sensor module 240 may further include a control circuit for controlling at least one or more sensors belonging thereto. In some embodiments, the electronic device 201 may be a processor (eg, a low power processor, a micro controller unit (MCU), a micro processor unit (MPU) configured to control the sensor module 240 as part of or separately from the processor 210). Etc.), while the processor 210 is in a sleep state, the sensor module 240 may be controlled.

The input device 250 may include, for example, a touch panel 252, a (digital) pen sensor 254, a key 256, or an ultrasonic input device 258.

The touch panel 252 may use at least one of capacitive, resistive, infrared, or ultrasonic methods, for example. In addition, the touch panel 252 may further include a control circuit. The touch panel 252 may further include a tactile layer to provide a tactile response to the user.

The (digital) pen sensor 254 may be, for example, part of a touch panel or may include a separate sheet for recognition. The key 256 may include, for example, a physical button, an optical key, or a keypad. The ultrasonic input device 258 may detect the ultrasonic waves generated by the input tool through the microphone 288 and check the data corresponding to the detected ultrasonic waves. According to various embodiments, the input device 250 may include an electronic pen. According to various embodiments of the present disclosure, the input device 250 may be implemented to receive a force touch.

Display 260 (eg, display 160) may include panel 262, hologram device 264, projector 266, and / or control circuitry to control them.

The panel 262 may be implemented to be, for example, flexible, transparent, or wearable. The panel 262 may be configured with the touch panel 252 and one or more modules. According to an embodiment of the present disclosure, the panel 262 may include a pressure sensor (or force sensor) capable of measuring the strength of the pressure with respect to the user's touch. The pressure sensor may be integrated with the touch panel 252 or may be implemented with one or more sensors separate from the touch panel 252.

The panel 262 may be seated on the display 260 and sense a user input in contact with or in proximity to the surface of the display 260. The user input may include a touch input or a proximity input input based on at least one of single-touch, multi-touch, hovering, or air gesture. The panel 262 may receive a user input for starting an operation related to the use of the electronic device 201 in various embodiments, and generate an input signal according to the user input.

The panel 262 may be configured to convert a change in pressure applied to a specific portion of the display 260 or capacitance occurring at a specific portion of the display 260 into an electrical input signal. The panel 262 may detect a location and area at which an input tool (eg, a user's finger, an electronic pen, etc.) is touched or approached on the surface of the display 260. In addition, the panel 262 may be implemented to detect even a pressure (for example, force touch) at the time of touch according to the applied touch method.

The hologram 264 may show a stereoscopic image in the air by using interference of light. The projector 266 may display an image by projecting light onto a screen. For example, the screen may be located inside or outside the electronic device 201.

The interface 270 may include, for example, an HDMI 272, a USB 274, an optical interface 276, a D-subminiature 278, or the like. The interface 270 may be included in, for example, the communication interface 170 illustrated in FIG. 1. Additionally or alternatively, interface 270 may include, for example, a mobile high-definition link (MHL) interface, an SD card / multi-media card (MMC) interface, or an infrared data association (IrDA) compliant interface. have.

The interface 270 may receive data from another electronic device, or may receive power and transfer the power to each component in the electronic device 201. The interface 270 may allow data inside the electronic device 201 to be transmitted to another electronic device. For example, wired / wireless headphone port, external charger port, wired / wireless data port, memory card port, audio input / output port, video input / output port, earphone port And the like may be included in the interface 270. According to various embodiments of the present disclosure, the interface 270 (eg, the USB 274) may serve as an interface with all external devices connected to the electronic device 201. In various embodiments, the interface 270 (eg, USB 274) may include a USB Type C interface (hereinafter, Type C interface).

The audio module 280 may bidirectionally convert, for example, a sound and an electrical signal. At least some components of the audio module 280 may be included in, for example, the input / output interface 145 illustrated in FIG. 1.

The audio module 280 may process sound information input or output through, for example, a speaker 282, a receiver 284, an earphone 286, a microphone 288, or the like. The audio module 280 transmits an audio signal received from the processor 210 to an output device (eg, the speaker 282, the receiver 284, or the earphone 286), and inputs the input device (eg, the microphone 288). An audio signal, such as a voice input from the processor, may be transmitted to the processor 210. The audio module 280 converts the voice / sound data into an audible sound through an output device under the control of the processor 210, and outputs the audio / audio data. Can be forwarded to

The speaker 282 or the receiver 284 may output audio data received from the communication module 220 or stored in the memory 230. The speaker 282 or the receiver 284 may output sound signals related to various operations (functions) performed by the electronic device 201. The microphone 288 may receive an external sound signal and process the same as electrical voice data. The microphone 288 may implement various noise reduction algorithms for removing noise generated in the process of receiving an external sound signal. The microphone 288 may be responsible for input of audio streaming, such as a voice command.

The camera module 291 is, for example, a device capable of capturing still images and moving images. According to an embodiment, the camera module 291 may include one or more image sensors (eg, a front sensor or a rear sensor), a lens, and an image signal processor (ISP). Or flash (eg, LED or xenon lamp, etc.).

According to various embodiments of the present disclosure, the camera module 291 represents a configuration supporting a capturing function of the electronic device 201. The camera module 291 may photograph an arbitrary subject under the control of the processor 210, and transfer the photographed data (eg, an image) to the display 260 and the processor 210.

According to various embodiments of the present disclosure, the camera module 291 may include, for example, a first camera (eg, a color (RGB) camera) and depth information (eg, location information and distance of a subject) to acquire color information. And a second camera (eg, an infrared (IR) camera) for obtaining information. According to an embodiment of the present disclosure, the first camera may be a front camera provided in the front of the electronic device 201. According to various embodiments of the present disclosure, the front camera may be replaced by the second camera, and the first camera may not be provided at the front of the electronic device 201. According to various embodiments of the present disclosure, the first camera may be disposed together on the front surface of the electronic device 201 together with the second camera. According to an embodiment of the present disclosure, the first camera may be a rear camera provided at the rear of the electronic device 201. According to an embodiment of the present disclosure, the first camera may have a form including both a front camera and a rear camera respectively provided on the front and rear of the electronic device 201.

The camera module 291 may include an image sensor. The image sensor may be implemented as a charged coupled device (CCD) or a complementary metal-oxide semiconductor (CMOS).

The power management module 295 may manage power of the electronic device 201, for example. According to an embodiment of the present disclosure, the power management module 295 may include a power management integrated circuit (PMIC), a charger IC, a battery, or a fuel gauge (or a battery gauge).

The PMIC may have a wired and / or wireless charging scheme. The wireless charging method may include, for example, a magnetic resonance method, a magnetic induction method, an electromagnetic wave method, or the like. The PMIC may further include additional circuitry for wireless charging, such as a coil loop, a resonance circuit, a rectifier, or the like. The fuel gauge may measure, for example, the remaining amount of the battery 296, the voltage, the current, or the temperature during charging. The battery 296 may include, for example, a rechargeable battery and / or a solar battery.

The indicator 297 may display a specific state of the electronic device 201 or a part thereof (for example, the processor 210), for example, a booting state, a message state, or a charging state.

The motor 298 (eg, a vibration motor) may convert an electrical signal into mechanical vibration, and may generate a vibration or a haptic effect. According to various embodiments of the present disclosure, the electronic device 201 may include a motor driving controller (not shown), and the motor 298 may be driven under the control of the motor driving controller. According to an embodiment of the present disclosure, the processor 210 applies a signal related to vibration generation to the motor driving controller, and the motor driving controller outputs a motor driving signal corresponding to the signal received from the processor 210 to the motor 298. Can be. The motor 298 may be driven by the motor driving signal received from the motor driving controller to generate vibration.

In various embodiments, the motor 298 may be implemented by a vibration generating device (or module) that generates vibration. The vibration generating device may include, for example, a motor 298, a vibrator, an actuator, or a haptic generating device. Various embodiments may use one or more vibration generating devices to perform operations related to vibration generation and generation.

The electronic device 201 according to various embodiments may include, for example, a mobile device capable of processing media data according to a standard such as digital multimedia broadcasting (DMB), digital video broadcasting (DVB), or mediaFlo ^™ . It may include a TV support device (eg, GPU).

Each of the components described in this document may be composed of one or more components, and the names of the corresponding components may vary depending on the type of electronic device. In various embodiments, the electronic device (eg, the electronic devices 101 and 201) may be omitted, some additional components may be included, or some of the components may be combined to form a single object. In this case, the functions of the corresponding components before combining may be performed in the same way.

According to an embodiment of the present disclosure, the program module 310 (eg, the program 140) may be configured to operate on an operating system and / or operating system that controls resources related to the electronic device (eg, the electronic devices 101 and 201). It may include an application (for example, the application program 147). The operating system may include, for example, Android ^™ , iOS ^™ , Windows ^™ , Symbian ^™ , Tizen ^™ , or Bada ^™ .

Referring to FIG. 3, the program module 310 may include a kernel 320 (eg, kernel 141), middleware 330 (eg, middleware 143), and API 360 (eg, API 145). , And / or the application 370 (eg, the application program 147). At least a part of the program module 310 may be preloaded on the electronic device or may be downloaded from an external electronic device (eg, the

electronic devices

102 and 104, the server 106, etc.).

The kernel 320 may include, for example, a system resource manager 321 and / or a device driver 323.

The system resource manager 321 may perform control, allocation, or retrieval of system resources. According to an embodiment of the present disclosure, the system resource manager 321 may include a process manager, a memory manager, or a file system manager.

The device driver 323 may include, for example, a display driver, a camera driver, a Bluetooth driver, a shared memory driver, a USB driver, a keypad driver, a WiFi driver, an audio driver, or an inter-process communication (IPC) driver. .

The middleware 330 may provide various functions through the API 360, for example, to provide functions commonly required by the application 370, or to allow the application 370 to use limited system resources inside the electronic device. May be provided to the application 370.

According to an embodiment of the present disclosure, the middleware 330 may include a runtime library 335, an application manager 341, a window manager 342, and a multimedia manager 343. A resource manager 344, a power manager 345, a database manager 346, a package manager 347, and a connectivity manager 348. , Notification manager 349, location manager 350, graphic manager 351, security manager 352, or fan control manager. manager) 353.

The runtime library 335 may include, for example, a library module used by a compiler to add new functions through a programming language while the application 370 is running. The runtime library 335 may perform input / output management, memory management, or arithmetic function processing.

The application manager 341 may manage, for example, a life cycle of the application 370. The window manager 342 may manage graphical user interface (GUI) resources used on the screen.

The multimedia manager 343 may identify a format necessary for playing the media files, and may encode or decode the media file using a codec suitable for the format. The resource manager 344 may manage space of source code or memory of the application 370.

The power manager 345 may manage, for example, the capacity, temperature, or power of the battery, and may determine or provide power information necessary for the operation of the electronic device using the corresponding information. According to an embodiment of the present disclosure, the power manager 345 may interwork with a basic input / output system (BIOS).

The database manager 346 may create, retrieve, or change a database to be used, for example, in the application 370. The package manager 347 may manage installation or update of an application distributed in the form of a package file. The connectivity manager 348 may manage, for example, a wireless connection. The notification manager 349 may provide the user with events such as, for example, an arrival message, an appointment, a proximity notification, and the like.

The location manager 350 may manage location information of the electronic device, for example. The graphic manager 351 may manage, for example, graphic effects to be provided to the user or a user interface related thereto. The security manager 352 may provide system security or user authentication, for example.

According to an embodiment of the present disclosure, the middleware 330 may include a telephony manager for managing a voice or video telephony function of the electronic device or a middleware module that may form a combination of functions of the above-described components. According to an embodiment of the present disclosure, the middleware 330 may provide a module specialized for each type of OS. The middleware 330 may dynamically delete some of the existing components or add new components.

API 360 is, for example, a set of API programming functions, which may be provided in different configurations depending on the operating system. For example, in the case of Android or iOS, one API set may be provided for each platform, and in Tizen, two or more API sets may be provided for each platform.

The application 370 is, for example, a home 371, a dialer 372, an SMS / MMS 373, an instant message (IM) 374, a browser 375, a camera 376, an alarm 377. , Applications 378, voice dial 379, email 380, calendar 381, media player 382, album 383, watch 384, and the like. According to various embodiments of the present disclosure, the application 370 may include a health care (eg, exercise amount or blood glucose, etc.) or an environment information (eg, barometric pressure, humidity, or temperature information) application. According to various embodiments of the present disclosure, the application 370 may include an application that detects a face region in an image, classifies an attribute (eg, race information) of the face region, and performs an operation of correcting white balance based on the attribute. Can be.

According to an embodiment of the present disclosure, the application 370 may include an information exchange application capable of supporting information exchange between the electronic device 201 and an external electronic device. The information exchange application may include, for example, a notification relay application for delivering specific information to the external electronic device, or a device management application for managing the external electronic device.

For example, the notification relay application may deliver notification information generated by another application of the electronic device 201 to an external electronic device, or receive notification information from an external electronic device and provide the notification information to a user. The device management application may, for example, turn-on / turn-off of a function of an external electronic device (eg, the external electronic device itself (or some component part) in communication with the electronic device 201). turn-off) or adjust the brightness (or resolution) of the display, or install, delete, or update an application running on the external electronic device.

According to an embodiment of the present disclosure, the application 370 may include an application (eg, a health care application of a mobile medical device) designated according to an attribute of the external electronic device.

According to an embodiment of the present disclosure, the application 370 may include an application received from an external electronic device. At least a portion of the program module 310 may be implemented (eg, executed) in software, firmware, hardware (eg, the processor 210), or a combination of at least two or more thereof, and a module for performing one or more functions; It can include a program, routine, instruction set, or process.

As used herein, the term "module" includes a unit composed of hardware, software, or firmware, and includes, for example, logic, logic block, component, or circuit. Can be used interchangeably with such terms. The module may be an integrally formed part or a minimum unit or part of performing one or more functions. "Modules" may be implemented mechanically or electronically, for example, application-specific integrated circuit (ASIC) chips, field-programmable gate arrays (FPGAs), or known or future developments that perform certain operations. It can include a programmable logic device.

At least a portion of an apparatus (eg, modules or functions thereof) or method (eg, operations) according to various embodiments may be a computer-readable storage medium (eg, memory 130 of FIG. 1 or It may be implemented by instructions stored in the memory 230 of FIG. 2. When the command is executed by a processor (eg, the processor 120 of FIG. 1 or the processor 210 of FIG. 2), the processor may perform a function corresponding to the command.

Computer-readable recording media include hard disks, floppy disks, magnetic media (e.g. magnetic tape), optical recording media (e.g. compact disc read only memory), DVD (digital versatile disc), magneto-optical media (eg, floptical disk), internal memory, etc. Instructions may be code generated by the compiler or an interpreter. The module or the program module according to various embodiments of the present disclosure may include at least one or more of the above components, some of them may be omitted, or may further include other components. .

According to various embodiments of the present disclosure, the recording medium may include a computer-readable recording medium having recorded thereon a program for executing various methods described below in the processors 120 and 210.

According to various embodiments, operations performed by a module, program module, or other component may be executed sequentially, in parallel, repeatedly, or heuristically, or at least some operations may be executed in a different order, omitted, or otherwise. Actions can be added.

4 is a diagram illustrating an example of a white balance correction module in an electronic device according to various embodiments of the present disclosure. 5 and 6 are diagrams illustrating color differences between attributes of an object in an electronic device according to various embodiments of the present disclosure.

As shown in FIG. 4, FIG. 4 illustrates classification of attributes (eg, races) for face regions of an image in an electronic device (eg, the electronic devices 101 and 201 of FIG. 1 or 2) according to various embodiments. By way of example, a white balance correction module 400 associated with controlling the white balance may be described.

In various embodiments, the white balance correction module 400 may be included as a hardware module or a software module in a processor (eg, the processors 120 and 210, hereinafter, the processor 210 of FIG. 1 or 2). have. In various embodiments, the electronic device may include an image signal processor in the processor 210 or may include an image signal processor separately from the processor 210, and the white balance correction module 400 may include a hardware module in the image signal processor. Or it may be included as a software module. In various embodiments, the white balance correction module 400 may be a module configured to perform auto white balance (AWB) correction.

Referring to FIG. 4, the white balance correction module 400 for providing a white balance function according to various embodiments may include a white balance calculator 410, a face white balance calculator 420, and the like. Can be. In various embodiments, the face white balance calculator 420 may include an attribute detector 430 including an area analyzer 440, a histogram determiner 450, and the like.

The white balance calculator 410 may calculate a general automatic white balance. For example, the automatic white balance function may represent a function of correcting a color difference caused by a difference in color temperature. According to an embodiment of the present disclosure, there may be a difference in expression of colors depending on light (or a light source) during image capturing. For example, when the color temperature is low, the red light is emitted, and when the color temperature is high, the blue light is emitted. The white balance calculator 410 may correct the color temperature of the light so that the ideal white is photographed.

According to various embodiments of the present disclosure, the white balance calculator 410 extracts a gray area under a light source, and makes the RGB (Red, Green, Blue) ratio of the gray area equal (eg, R = G = B). White balance gain (WB gain) for reproducing white can be calculated. According to an embodiment of the present disclosure, the white balance calculator 410 may calculate the white balance gain according to the gray area regardless of the presence or absence of a face in the image. According to various embodiments of the present disclosure, the white balance calculator 410 may calculate a white balance gain corresponding to a background in an image, and provide the white balance gain to the face white balance calculator 420. In various embodiments, the white balance calculator 410 may be referred to as a first correction module or a first gain generator.

The face white balance calculator 420 may calculate an automatic white balance related to the face area in the image. For example, if an image includes a human face, it can be assumed that the face is under a high color temperature light source and the background is under a lower color temperature light source. In this case, if the white balance is adjusted to match the background of the face area, the face color may be expressed as greener than the actual color, for example, as a face without a life.

In various embodiments, although not shown, the electronic device may include a face detector (not shown) that detects a face (or face area) in the captured image when the image is captured, and the number of faces based on the face detector is determined. Face related information related to a face count and a face position may be provided to the face white balance calculator 420.

According to various embodiments of the present disclosure, the face white balance calculator 420 may calculate a white balance gain for the face area based on the face association information obtained (received) from the face detector. According to various embodiments of the present disclosure, the face white balance calculator 420 may detect a property of a face area in an image and calculate a white balance gain based on the detected property. In various embodiments, an attribute of a facial region (or face) may indicate an indicator related to human race or skin color based on the face. According to an embodiment of the present disclosure, races may be broadly classified into three types of white races, black races, and yellow races, and races may have different reflectances according to wavelengths of skin color.

For example, referring to FIGS. 5 and 6, FIG. 5 illustrates an example of a Commission Internationale de l'Eclairage (CIE) color system of skin color according to race of an object of a face region, and FIG. 6 shows wavelength of skin color according to race. An example of the star reflectance can be shown. In FIG. 5, the x-axis and the y-axis may represent the amounts of brightness of colors, respectively, and x and y may represent chromaticity as a set. As shown in Figure 5, as can be seen on the skin color CIE xy coordinates according to the race, it can be seen that the black species are shifted in the blue direction compared to the yellow race (or white race). In addition, as can be seen from the wavelength reflectance graph of the skin color according to the race of FIG. 6, it can be seen that the black species has a lower reflectance of the longer wavelength band than the yellow race (or white race) and is bluish compared to the yellow race (or white race). According to an embodiment of the present disclosure, the black species may have a blue color having a long wavelength band reflectance lower than that of a yellow race or a white race. Therefore, according to various embodiments of the present disclosure, the face white balance calculator 420 may be yellowish in contrast to the actual skin of the black race in consideration of race when applying the face-based automatic white balance (AWB), or, conversely, the yellow race ( Or white race) may be applied differently by racial division to prevent the case from becoming bluish.

According to various embodiments of the present disclosure, the face white balance calculator 420 may determine an attribute (eg, race) of a face area in the face-based automatic white balance and express an expression of an original color (eg, race-natural skin color) according to the attribute. Can be improved. To this end, in various embodiments, the face white balance calculator 420 may include an attribute detector 430.

The attribute detector 430 may detect an attribute of the face region in the face-based white balance and calculate a face white balance gain based on the detected attribute. The attribute detector 430 may include a region analyzer 440 for analyzing attributes based on a face region, and a histogram for calculating a ratio of backlight (eg, a bright background and a dark face) based on a histogram. The determination unit 450 may be configured to be included.

The area analyzer 440 may determine the property by using a ratio of color information (eg, brightness information, RGB, color temperature, etc.) between the background area and the face area in the image. In one embodiment, the electronic device includes a first data whole of the image other than the face region in the image (for example, a color information corresponding to the entire image, RGB stat _background) and the second data of the face area in the image (for example, : a color information corresponding to the face area, RGB stat can be used to calculate the ratio of the _face). This will be described in detail with reference to the drawings to be described later.

The histogram determiner 450 may reflect the backlight ratio to a reference value for attribute classification. For example, the histogram determiner 450 may set a threshold reduce weight for changing the reference value according to the backlight ratio. In various embodiments, the backlight ratio can be obtained using a histogram. The histogram can represent the pixel distribution from the dark to the bright parts of the image. According to an embodiment of the present disclosure, the brightness range of the image in the histogram may include 0 to 255, and as the value goes to 0, the image becomes dark and the number goes to 255, indicating that the image is bright.

The histogram determination unit 450 reflects the backlight ratio using the histogram data to a reference value (for example, a first reference value for the first attribute determination and a second reference value for the second attribute determination), thereby determining the attribute for attribute classification. 3 Reference values (eg final reference values) can be set. This will be described in detail with reference to the drawings to be described later.

As described above, the electronic device according to various embodiments of the present disclosure may include a display (for example, the display 160 and 260 of FIG. 1 or 2) and a processor (eg, FIG. 1 or FIG. 2) functionally connected to the display. Processor 120, 210, wherein the processor is configured to acquire an image including one or more objects, determine a first area corresponding to a face among the one or more objects in the image, and determine the one or more objects. Determining a second area corresponding to the background, and checking a ratio between the color information of the first area and the color information of the second area, and when the ratio satisfies the set first condition, the first level is set to the first level. Correcting the white balance corresponding to the first area, correcting the white balance corresponding to the first area at a second level when the ratio satisfies the set second condition, and It is possible to configure the first level and the second level of the image of the white balance correction according to the first region by one level to a corresponding one of the display via the display.

According to various embodiments of the present disclosure, the processor may be configured to determine a backlight ratio in the image and to further correct the white balance corresponding to the first region by further using the backlight ratio.

According to various embodiments of the present disclosure, the processor may be configured to determine the backlight ratio based on histogram data calculated from the image.

According to various embodiments of the present disclosure, the processor calculates an auto white balance (AWB) of the first area as part of the correcting operation, and corresponds to the first specified condition in the auto white balance. The first level may be corrected to the first level by multiplying the first correction value, or the second level may be corrected to the second level by multiplying a second correction value corresponding to the second specified condition.

As described above, the electronic device according to various embodiments of the present disclosure may include a camera module 291, a display (for example, the display 160 and 260 of FIG. 1 or 2), and a processor functionally connected to the camera module and the display. (Eg, the processors 120 and 210 of FIG. 1 or 2), the processor may acquire an image including a face object, distinguish a background area and a face area from the image, and Determine a property, calculate a weight for correcting a white balance based on the property of the face area, correct the white balance based on the weight, and display the image on the display based on the corrected white balance. Can be configured to display.

According to various embodiments of the present disclosure, the attribute of the face area may include an index related to race or skin color corresponding to an object of the face area in the image.

According to various embodiments of the present disclosure, the processor may be configured to determine the attribute based on the color information ratio of the face region.

According to various embodiments of the present disclosure, when the color information ratio of the face area is equal to or less than a set first reference value, the processor determines an object of the face area as a first property and sets the color information ratio of the face area to a second value. When the reference value is greater than or equal to the reference value, the object of the face area may be determined as a second property, and the weight may be determined based on the first property or the second property.

According to various embodiments of the present disclosure, the processor may determine a third white balance based on a first white balance gain associated with the background area, a second white balance gain associated with the face area, and a weight according to the attribute, The image may be configured to be provided based on the determined third white balance.

According to various embodiments of the present disclosure, the processor calculates a color information ratio of the face area, compares the color information ratio with at least one reference value set for attribute determination, and based on the comparison result, color information. It may be configured to determine whether the ratio is included below the first reference value, above the second reference value, or between the first reference value and the second reference value.

According to various embodiments of the present disclosure, the processor may be configured to determine an object of the face area as a third attribute when the color information ratio corresponds between the first reference value and the second reference value.

According to various embodiments of the present disclosure, the processor may be configured to calculate the color information ratio based on color information corresponding to the background area.

According to various embodiments of the present disclosure, the processor may be configured to change a reference value of brightness information for attribute classification according to a backlight ratio in the image and determine the attribute based on the changed reference value.

According to various embodiments of the present disclosure, the processor may calculate a reduce weight for changing the reference value according to the backlight ratio, calculate another reference value using the decrease weight, and color the face region. It may be configured to determine an attribute of the face area based on an information rate and the other reference value.

According to various embodiments of the present disclosure, when the image includes a plurality of face regions, the processor compares the color information ratio and the reference value of the plurality of face regions, and based on the comparison result, the plurality of faces. Determine a first property and a second property corresponding to the areas, and determine a ratio of the number of face areas corresponding to the determined first property and face areas corresponding to the determined second property among the plurality of face areas; The weight value for white balance correction may be calculated based on a ratio of the number of the first attribute and the second attribute.

According to various embodiments of the present disclosure, the processor may be configured to determine the weight based on one attribute having a high ratio of the number or to differentially determine the weight according to the degree of the ratio of the number.

Referring to FIG. 7, in various embodiments, when performing image capturing in an electronic device, FIG. 7 calculates a white balance gain based on an attribute (eg, a race) of a face area to correct white balance. An example can be shown.

In operation 701, a processor (eg, one or more processors including processing circuitry) of an electronic device (eg, electronic device 101, 201 of FIG. 1 or 2) (eg, FIG. The processor 120 or 210, hereinafter, the processor 210 of FIG. 1 or FIG. 2 may perform a photographing mode. According to an embodiment of the present disclosure, the processor 210 may enter a shooting mode based on detecting an execution of an application for capturing an image using a camera (eg, the camera module 291 of FIG. 2) based on a user input. Can be.

In operation 703, the processor 210 may acquire an image. According to an embodiment of the present disclosure, the processor 210 may acquire an image transmitted through the camera module 291.

In operation 705, the processor 210 may detect a face region in the obtained image. In various embodiments, the processor 210 may distinguish a face region from a background region in an image based on various face detection (or face recognition) techniques (or algorithms). According to an embodiment of the present disclosure, the processor 210 may detect a face region by extracting a location or a size of feature points.

In operation 707, the processor 210 may determine an attribute of the face area. In various embodiments, the attribute of the face area may include a race corresponding to a user face corresponding to the face area in the image. According to an embodiment of the present disclosure, the processor 210 may determine an attribute based on a ratio of color information (eg, brightness information, RGB, color temperature, and the like) of the face region. For example, when the ratio of the color information of the face region is less than or equal to the set first reference value, the processor 210 may determine the first attribute (for example, black), and the second criterion in which the ratio of the color information of the face region is set. If the value is greater than or equal to, the second attribute (eg, yellow phosphorus / white) may be determined. According to various embodiments of the present disclosure, an example of dividing an attribute of a face area is described in detail with reference to the following drawings.

In operation 709, the processor 210 may calculate a white balance gain based on the attributes of the face area. According to various embodiments of the present disclosure, the processor 210 may include a first gain (eg, white balance gain associated with an entire image), a second gain (eg, white balance gain associated with a face area of an image), and an attribute ratio according to an attribute (or The final white balance gain can be obtained based on the weight). In various embodiments, the attribute ratio may indicate a white balance gain offset (WB gain offset) corresponding to the first attribute (eg, black) or the second attribute (eg, yellow / white). According to various embodiments of the present disclosure, an example of calculating the final white balance gain will be described in detail with reference to the following drawings.

In operation 711, the processor 210 may correct the white balance based on the calculated white balance gain.

In operation 713, the processor 210 may display an image on the display based on the corrected white balance.

In general, since the skin color may vary depending on the lighting environment, it is not accurate to distinguish races by the skin color. In addition, yellow and white people may have a similar skin color, so the distinction between yellow and white may be less accurate. Accordingly, various embodiments of the present disclosure exemplarily divide the first attribute (eg, black) and the second attribute (eg, yellow / white).

Referring to FIG. 8, in various embodiments, a first reference value (eg, Threshold 1) for determining the first attribute and a second reference value (eg, Threshold 2) for determining the second attribute may be set. .

According to an embodiment of the present disclosure, the brightness of the first attribute (eg, black) may be relatively dark compared to the second attribute (eg, yellow / white). According to various embodiments of the present disclosure, an attribute determination ratio for the first attribute may be set to "0", and an attribute determination ratio for the second attribute may be set to "1".

According to various embodiments of the present disclosure, an attribute may be determined using a ratio of color information (eg, brightness information, RGB, color temperature, etc.) between a background area and a face area in an image. According to an embodiment of the present disclosure, since the first attribute (for example, black) may be darker than the second attribute (for example, yellow / white), in various embodiments, input data (for example, RGB statistics data) for white balance adjustment may be used. ) Can be used to determine attributes. According to an embodiment of the present disclosure, the electronic device may include first data (for example, color information corresponding to the entire image (for example, image brightness) corresponding to the entire image) except for the face region in the image, and second data (for example, full brightness of the image) in the image. For example, an attribute ratio may be calculated using a ratio of color information (eg, face region brightness) corresponding to the face region (eg, Equation 1 below).

<Equation 1>, HRR is Properties (race) determines the ratio (human race ratio) may represent (hereinafter properties ratio), L _background (for example:. RGB stat _background) is the color information corresponding to the entire image ( For example, it may represent the overall brightness of the image, and L _face (eg, RGB stat. _Face ) may represent color information (eg, face area brightness) corresponding to the face area in the image.

In various embodiments, the input data (eg, RGB statistics data) is normalized to a standard light source (eg, a light source having a spectrum similar to sunlight) in each of the face region and the face region exclusion region (eg, the background region). It can be converted into a value (L) that can represent brightness information. Normalization adds a normalization gain to the input data (e.g. RGB statistics data) that produces a 1: 1: 1 RAW RGB of gray patches from a standard color chart (e.g. Macbeth chart) taken under standard light sources. Can be multiplied. For example, it may be performed as in Equation 2 below.

According to various embodiments of the present disclosure, based on the brightness information calculated as in Equation 2, the final brightness value L may be calculated as shown in Equation 3 below. For example, R ', G', and B 'may be used by weighted summation as shown in <Equation 3>.

According to various embodiments of the present disclosure, the electronic device may use the color information ratio HRR between the background region and the face region calculated based on the first data and the second data, and the color information ratio corresponds to the first reference value. It may be compared and analyzed to correspond to the second reference value. According to various embodiments of the present disclosure, the electronic device may determine an attribute (eg, race) based on a reference value corresponding to the color information ratio. According to an embodiment of the present disclosure, if the color information ratio is less than or equal to the first reference value, the electronic device may determine the first property (for example, black), and if the color information ratio is greater than or equal to the second reference value, the electronic device may be yellow; / White).

According to various embodiments of the present disclosure, if the color information ratio does not correspond to the first reference value or the second reference value, for example, a value in which the color information ratio exists between the first reference value and the second reference value On the back side (eg, having an intermediate ratio value), interpolation may be used to determine a third attribute (eg, intermediate color information between black and yellow / white color information).

According to various embodiments of the present disclosure, the electronic device may have a certain attribute ratio (a first attribute or a second attribute) that is equal to or less than the first reference value or more than the second reference value, regardless of brightness, and the first reference value and the second reference value. Between values, the attribute ratio can be set to have a third attribute by interpolation of the first attribute and the second attribute.

According to various embodiments of the present disclosure, the electronic device may correspond to a white balance gain offset (eg, first weight) and a second attribute (eg, yellow / white) corresponding to the first attribute (eg, black). The white balance gain offset (eg, the second weight) may be stored and managed as a white balance correction parameter. For example, the electronic device may multiply the white balance gain (eg, the second gain) calculated by the face-based white balance with the white balance gain offset (eg, the weight) according to the property to obtain the final white balance gain (eg, the final correction value). ) Can be calculated.

On the other hand, there may be a backlight when the image is taken. Backlighting, for example, can make the background area brighter and the face area darker in the image. In this case, even if the object of the face region in the image is substantially the second attribute (eg yellow / white), the object may not be recognized as the second attribute but detected as the first attribute (eg black). . Accordingly, in various embodiments, the reference value for determining the attribute may be adjusted in consideration of the backlight ratio. This will be described with reference to FIGS. 9 and 10.

As shown in FIG. 9, according to various embodiments, the backlight ratio may be reflected in a reference value for attribute classification. For example, the electronic device may set a threshold reduce weight for changing the reference value according to the backlight ratio. In various embodiments, the backlight ratio can be obtained using a histogram. The histogram can represent the pixel distribution from the dark to the bright parts of the image. According to an embodiment of the present disclosure, the horizontal axis of the histogram graph may include a brightness of an image, and the range may include 0 to 255, and the image may be dark as 0 goes and the image may be light as 255.

Accordingly, in various embodiments, the backlight ratio using the histogram data is reflected to a reference value (for example, the first reference value for the first attribute determination and the second reference value for the second attribute determination). >, You can set the final reference value for attribute classification.

In Equation 4, F _TH may represent a final reference value, Threshold may represent a default reference value according to an attribute, and Reduce weight may represent a reference value reduction weight based on a backlight ratio. According to an embodiment of the present disclosure, each of the first reference value for determining the first attribute and the second reference value for determining the second attribute may be changed (eg, reduced) according to the reduce weight. This example is shown in FIG. 10.

As shown in FIG. 10, the element 1010 may represent a reference value for each attribute determination ratio (eg, a first reference value and a second reference value) in a state where the backlight ratio is not considered, and the element 1020 may consider the backlight ratio. The reference value for each attribute determination ratio of the state can be represented (eg, third reference value, fourth reference value).

Referring to FIG. 10, when setting the final value based on the element 1020 according to the backlight ratio, the first reference value for determining the existing first attribute (eg, black) may be changed to the third reference value 1030. The second reference value for determining the second attribute (eg, yellow / white) may be changed to the fourth reference value 1040. Accordingly, in various embodiments, even if backlight is present, the second attribute of the face area may be prevented from being misrecognized as the first attribute.

Referring to FIG. 11, in various embodiments, FIG. 11 detects an attribute (eg, race) of a face region from an image obtained by an electronic device, calculates a final white balance gain based on the attribute of a face region, and displays an image. An example to display can be shown.

In operation 1101, a processor (eg, the processor 120, 210 of FIG. 1 or 2, hereinafter, processor 210) of an electronic device (eg, electronic device 101, 201 of FIG. 1 or 2). Can acquire an image. According to an embodiment of the present disclosure, the processor 210 may acquire an image transmitted through the camera module 291. In various embodiments, the acquired image may include one or more objects and may be a preview image for real-time display through a display.

In operation 1103, the processor 210 may detect a face region in the obtained image. In various embodiments, the processor 210 may distinguish a face region and a background region in an image based on various face detection techniques (or algorithms).

In operation 1105, the processor 210 may calculate a ratio of color information of the face area. According to an embodiment of the present disclosure, the processor 210 may include first data (for example, color information corresponding to an entire image) of a background region excluding a face region in an image, and second data (eg, a face) related to a face region in an image A ratio (eg, color information ratio) of the color information corresponding to the area may be calculated.

In operation 1107, the processor 210 may compare the color information ratio and the reference value. According to an embodiment of the present disclosure, the processor 210 may compare the determined attribute determination ratio with a first reference value for the first attribute, a second reference value for the second attribute, and a third reference value for the third attribute. have. According to an embodiment of the present disclosure, the processor 210 may determine an attribute (eg, an attribute discrimination ratio) according to the color information ratio by using Equation 1 described above.

In various embodiments, the processor 210 may, based on the comparison result, determine whether the color information ratio is included below the first reference value, above the second reference value, or between the first reference value and the second reference value. It can be determined whether or not included in between. For example,

operations

1109 and 1113 may be performed. In various embodiments,

operations

1109 and 1113 are not limited to the order shown, and may be performed sequentially, in reverse order, or in parallel.

In operation 1109, the processor 210 may determine whether the color information ratio is included below the first reference value.

In operation 1109, when the processor 210 determines that the color information ratio is included below the first reference value (YES in operation 1109), in operation 1111, the object of the face region is set as the first attribute. You can decide.

In operation 1109, if the color information ratio is not included below the first reference value (NO in operation 1109), in operation 1113, the processor 210 includes the color information ratio above the second reference value. Can be determined.

In operation 1113, when the processor 210 determines that the color information ratio is equal to or greater than the second reference value (YES in operation 1113), in operation 1115, the object of the face region is set as the second attribute. You can decide.

In operation 1113, the processor 210 may determine the object of the face area as the third attribute in operation 1117 if the color information ratio is not included above the second reference value (NO in operation 1113). have. According to an embodiment of the present disclosure, the processor 210 determines that the ratio of color information exists between the first reference value and the second reference value, and determines that the object of the face area is an intermediate property between the first property and the second property. It can be judged as three attributes. According to various embodiments of the present disclosure, when the color information ratio is present between the first reference value and the second reference value, the processor 210 may generate the third attribute by interpolation of the first attribute and the second attribute.

In operation 1119, the processor 210 may calculate a white balance gain based on the determined attribute. According to an embodiment of the present disclosure, the processor 210 may determine a white balance gain offset according to a first attribute, a second attribute, or a third attribute determined by the operation 1111, the operation 1115, or the operation 1117. : Weight) can be determined. The processor 210 may calculate a final white balance gain (eg, a final correction value) by multiplying the face-based white balance gain by the white balance gain offset.

In operation 1121, the processor 210 may correct the white balance based on the calculated white balance gain. According to an embodiment of the present disclosure, the processor 210 calculates an automatic white balance (AWB) of the face area, multiplies the automatic white balance by a first correction value corresponding to the first attribute, and corrects the white balance at a first level, The white balance may be corrected to the second level by multiplying the automatic white balance by a second correction value corresponding to the second attribute.

In operation 1123, the processor 210 may display an image on the display based on the corrected white balance.

Referring to FIG. 12, in various embodiments, FIG. 12 changes a reference value of brightness information for attribute classification according to a backlight (eg, a background area is bright and a face area is dark) condition (eg, a backlight ratio) of an image. And an example of determining an attribute based on the changed reference value.

In operation 1201, the processor 210 of the electronic device may check the backlight ratio in the image. According to an embodiment of the present disclosure, the processor 210 may determine the backlight ratio using histogram data.

In operation 1203, the processor 210 may adjust the reference value based on the backlight ratio. According to an embodiment of the present disclosure, as illustrated in Equation 4, the processor 210 may multiply the reference value by a threshold reduce weight for changing the reference value according to the backlight ratio. You can set the reference value.

In operation 1205, the processor 210 may determine an attribute of the face area based on the color information ratio of the face area and the adjusted reference value.

Referring to FIG. 13, in various embodiments, when an image includes a plurality of face regions, FIG. 13 determines a white balance gain offset (eg, a weight) based on the plurality of face regions, and determines the determined white balance gain. An example of calculating the final white balance gain based on the offset may be shown.

In operation 1301, the processor 210 of the electronic device may identify a face region in the image. According to an embodiment of the present disclosure, the processor 210 may detect a face region in the image and determine the number of detected face regions. According to an embodiment of the present disclosure, the processor 210 may analyze face association information related to face count, face position, and the like in the image. In various embodiments, face association information may be analyzed and provided by the face detector.

In operation 1303, the processor 210 may determine whether a plurality of face areas are included in the image based on the checking result.

In operation 1303, when the processor 210 determines that the facial region detected in the image is not a plurality of facial regions (NO in operation 1303), in operation 1305, the color information ratio and reference of the facial region is determined. You can compare the values. According to an embodiment of the present disclosure, as described above, the processor 210 may calculate the color information ratio of the face region based on the background region and the face region, and use the calculated color information ratio as a reference value for attribute determination. (Eg, a first reference value for the first attribute, a second reference value for the second attribute, etc.).

In operation 1307, the processor 210 may determine an attribute corresponding to the object of the face region based on the comparison result. According to an embodiment of the present disclosure, the processor 210 may determine the first attribute when the color information ratio is included below the first reference value, and determine the second attribute when the color information ratio is included above the second reference value. The third attribute may be determined when the color information ratio is included between the first reference value and the second reference value.

In operation 1309, the processor 210 may calculate a white balance gain based on the determined attribute. According to an embodiment of the present disclosure, the processor 210 may determine a white balance gain offset (eg, a weight) according to the determined first attribute, second attribute, or third attribute. The processor 210 may calculate a final white balance gain (eg, a final correction value) by multiplying the face-based white balance gain by the determined white balance gain offset.

In operation 1303, when the processor 210 determines that the facial region detected in the image is a plurality of facial regions (YES in operation 1303), in operation 1311, the ratio of the color information of the plurality of facial regions may be determined. Reference values can be compared. According to an embodiment of the present disclosure, the processor 210 may calculate a ratio of color information corresponding to a plurality of face areas, such as a first face area, a second face area, and a third face area, in the image. The color information ratio may be compared with a reference value for attribute determination (eg, a first reference value for the first attribute, a second reference value for the second attribute, etc.).

In operation 1313, the processor 210 may determine at least one attribute corresponding to the plurality of face regions based on the comparison result. According to an embodiment of the present disclosure, the processor 210 may determine, as a first attribute, at least one face area having a color information ratio of less than or equal to a first reference value in a plurality of face areas, and color information in a plurality of face areas. At least one face area having a ratio greater than or equal to the first reference value may be determined as a second property, and at least one face having color information ratios between the first reference value and the second reference value in the plurality of face areas. The area may be determined as the third attribute.

In operation 1315, the processor 210 may determine the charge ratio (or ratio of the numbers) of the determined attributes. According to an embodiment of the present disclosure, when at least one first attribute and at least one second attribute are determined based on the plurality of face regions, the processor 210 occupies the first attribute and the second attribute in the plurality of face regions. You can judge the ratio. For example, the processor 210 may determine a ratio of the number of face regions corresponding to the determined first attribute among the plurality of face regions and the face regions corresponding to the determined second attribute. According to an embodiment of the present disclosure, it is assumed that there are five face regions, three face regions having an object of the first attribute, and two face regions having an object of the second attribute, among the plurality of five facial regions. Can be. The processor 210 may determine that a ratio (or ratio of numbers) of the first attribute to the second attribute is relatively high.

In operation 1317, the processor 210 may calculate the white balance gain based on the charge ratio (or ratio of the number) of the attributes (eg, the first attribute and the second attribute). According to an embodiment of the present disclosure, the processor 210 may determine a white balance gain offset (eg, a weight) according to an attribute having a high charge ratio. According to an embodiment of the present disclosure, the processor 210 may differentially determine a white balance gain offset (eg, a weight) according to the degree of charge ratio. The processor 210 may calculate a final white balance gain (eg, a final correction value) by multiplying the face-based white balance gain by the determined white balance gain offset.

Referring to FIG. 14, in various embodiments, FIG. 14 distinguishes a face region and a background region from an image obtained by the electronic device, and determines a ratio (eg, color information ratio) set based on the face region and the background region. In this example, the white balance may be corrected according to a specified condition (eg, a first property and a second property) where the set ratio is satisfied.

In operation 1401, the processor 210 of the electronic device may perform image capturing in a photographing mode.

In operation 1403, the processor 210 may acquire an image based on image capturing. According to an embodiment of the present disclosure, the processor 210 may acquire an image transmitted through the camera module 291. In various embodiments, the acquired image may include one or more objects and may be a preview image for real-time display through a display.

In operation 1405, the processor 210 may determine a first area (eg, a face area) of one or more objects corresponding to the face in the image.

In operation 1407, the processor 210 may determine a second area (eg, a background area) corresponding to a background of one or more objects in the image.

In operation 1409, the processor 210 may identify a ratio set based on the first area and the second area. According to an embodiment of the present disclosure, the processor 210 may identify a ratio between the color information of the first area and the color information of the second area. In various embodiments, the color information may include, for example, at least one of brightness information, RGB, or color temperature.

In operation 1411, the processor 210 may determine whether the ratio satisfies the set first condition. According to an embodiment of the present disclosure, the processor 210 may determine whether the ratio corresponds to a first reference value for determining an attribute corresponding to the object of the first area.

In operation 1411, the processor 210 may correct the white balance corresponding to the first area to the first level in operation 1413 when the ratio satisfies the first condition (YES in operation 1411). Can be. According to an embodiment of the present disclosure, the processor 210 may include an automatic white balance (AWB) corresponding to the first area (eg, a face-based white balance) and a first correction value corresponding to the first condition (eg, based on the first condition). The white balance may be corrected based on the first level calculated by multiplying the designated white balance gain offset (eg, the first weight).

In operation 1411, when the ratio satisfies the second condition (NO in operation 1411), in operation 1415, the processor 210 may correct the white balance corresponding to the first area to the second level. Can be. According to an embodiment of the present disclosure, the processor 210 may include a second correction value corresponding to the second condition (eg, a white balance gain offset corresponding to the second condition) to the automatic white balance AWB corresponding to the first area. The white balance may be corrected based on the second level calculated by multiplying the second weight).

In operation 1417, the processor 210 may control to display, on the display, an image in which the white balance corresponding to the first region is corrected to a corresponding one of the first level and the second level.

According to various embodiments of the present disclosure, the processor 210 may determine the backlight ratio based on the histogram data calculated from the image, and correct the white balance corresponding to the first area by using the determined backlight ratio.

Referring to FIG. 15, example (A) of FIG. 15 illustrates an example of an image to which the white balance correction function is not applied according to various embodiments, and example (B) of FIG. 15 illustrates a white balance correction function according to various embodiments. An example of this applied image can be shown.

As shown in FIG. 15, the image after the white balance correction of the example (B) may be expressed to be closer to the actual face color, compared to the image before the white balance correction of the example (A).

As described above, an operation method of an electronic device according to various embodiments of the present disclosure may include obtaining an image including one or more objects and determining a first area corresponding to a face among the one or more objects in the image. Determining a second area corresponding to a background among the one or more objects, checking a ratio between the color information of the first area and the color information of the second area, and satisfying the set first condition. Correcting the white balance corresponding to the first region at a first level, and correcting the white balance corresponding to the first region at a second level when the ratio satisfies a set second condition. And displaying the image whose white balance corresponding to the first area is corrected with a corresponding one of the first level and the second level. It may include the operation of displaying them through.

According to various embodiments of the present disclosure, the correcting operation may include determining a backlight ratio in the image and correcting a white balance corresponding to the first region by further using the backlight ratio.

According to various embodiments of the present disclosure, the determining of the backlight ratio may include determining the backlight ratio based on histogram data calculated from the image.

According to various embodiments of the present disclosure, the correcting operation may include calculating a reduce weight for changing the first condition and the second condition according to the backlight ratio, and using a third condition using the decrease weight. And calculating a fourth condition, and correcting a white balance corresponding to the first area to the first level when the third condition in which the ratio is changed is satisfied, and the fourth in which the ratio is changed. If the condition is satisfied, the method may include correcting a white balance corresponding to the first area at the second level.

According to various embodiments of the present disclosure, the correcting operation may include calculating an auto white balance (AWB) of the first area as part of the correcting operation, and the first specified condition for the automatic white balance. And correcting to the first level by multiplying a first correction value corresponding to, or correcting to the second level by multiplying a second correction value corresponding to the second specified condition.

Various embodiments of the present invention disclosed in the specification and drawings are only specific examples to easily explain the technical contents of the present invention and aid the understanding of the present invention, and are not intended to limit the scope of the present invention. Therefore, the scope of the present invention should be construed that all changes or modifications derived based on the technical spirit of the present invention are included in the scope of the present invention in addition to the embodiments disclosed herein.

Claims

In an electronic device,

display; And

A processor operatively coupled to the display, wherein the processor includes:

Acquire an image containing one or more objects,

Determine a first area corresponding to a face among the one or more objects in the image,

Determine a second area corresponding to a background of the one or more objects,

Checking a ratio between the color information of the first region and the color information of the second region,

When the ratio satisfies the set first condition, the white balance corresponding to the first area is corrected to the first level,

If the ratio satisfies the set second condition, correcting the white balance corresponding to the first area at a second level, and

And display the image on which the white balance corresponding to the first area is corrected through the display at a corresponding one of the first level and the second level.
The method of claim 1, wherein the processor,

Determine the backlight ratio in the image,

And correct the white balance corresponding to the first area by further using the backlight ratio.
The method of claim 2, wherein the processor,

And determine the backlight ratio based on histogram data calculated from the image.
The method of claim 1, wherein the processor,

As part of the correcting operation, calculating an auto white balance (AWB) of the first region, and

Set to be corrected to the first level by multiplying the automatic white balance by a first correction value corresponding to the first specified condition, or corrected to the second level by multiplying a second correction value corresponding to the second specified condition Electronic devices.
In an electronic device,

Camera module;

display; And

A processor operatively connected with the camera module and the display, wherein the processor includes:

Acquire an image that contains a face object,

Distinguishing the background area from the face area in the image,

Determine attributes for the face area,

Calculating a weight for correcting a white balance based on an attribute of the face area,

Correct the white balance based on the weight,

And display the image on the display based on the corrected white balance.
The method of claim 5,

The attribute of the face area may include an indicator related to race or skin color corresponding to an object of the face area in the image.
The method of claim 5, wherein the processor,

The electronic device is configured to determine the attribute based on a ratio of color information of the face area.
The method of claim 7, wherein the processor,

When the color information ratio of the face area is equal to or less than a first reference value, the object of the face area is determined as a first property

When the color information ratio of the face area is equal to or greater than a set second reference value, the object of the face area is determined as a second property,

And determine the weight based on the first attribute or the second attribute.
The method of claim 8, wherein the processor,

Determine a third white balance based on a first white balance gain associated with the background area, a second white balance gain associated with the face area, and a weight according to the attribute;

And provide the image based on the determined third white balance.
The method of claim 8, wherein the processor,

And determine the object of the face area as a third attribute when the ratio of color information corresponds between the first reference value and the second reference value.
The method of claim 7, wherein the processor,

And calculate the ratio of the color information based on the color information corresponding to the background area.
The method of claim 5, wherein the processor,

And change a reference value of brightness information for attribute classification according to a backlight ratio in the image, and determine the property based on the changed reference value.
The method of claim 12, wherein the processor,

Calculate a reduce weight for changing the reference value according to the backlight ratio,

Calculate another reference value using the reduction weight;

And determine an attribute of the face area based on a color information ratio of the face area and the other reference value.
The method of claim 5, wherein the processor,

When the image includes a plurality of face areas, the color information ratio and the reference value of the plurality of face areas are compared with each other.

Based on a result of the comparison, determining a first attribute and a second attribute corresponding to the plurality of face regions,

Determining a ratio of the number of face areas corresponding to the determined first property among the plurality of face areas and a face area corresponding to the determined second property,

And calculate a weight for white balance correction based on a ratio of the number of the first attribute and the second attribute.
The method of claim 14, wherein the processor,

The electronic device is configured to determine the weight based on one attribute having a high ratio of the number or to differentially determine the weight according to a degree of the ratio of the number.